Update documentation: correct details line for
cjbart().
Add compatibility so passing seed argument on Windows returns
warning rather than error
Add unit tests for OS compatibility
cjbart 0.3.1
Fix documentation: to plot the variable importance grid, the
x argument takes the result of calling
het_vimp() and not IMCE() as previously
documented (in v0.3.0)
Update package dependencies
cjbart 0.3.0
Rename arguments in het_vimp() from model
to imces and outcomes to levels
for consistency across functions
Change het_vimp() so it returns a list, including the
results and an attribute-level look-up table
Added ability to run het_vimp() calculation in
parallel
Fixed bug when predicting continuous conjoint outcomes
Add new pIMCE() function to calculate population
individual-level marginal component effects
Add new AMCE() function that includes Bayesian
uncertainty estimate
Add check for unique levels across attributes. If not, the
attribute-level values are modified to ensure uniqueness
Add functionality to improve quality of outputs
Update the vignette to reflect new functionality
Add ability to drop attributes from IMCE analysis
Remove dependencies not needed
cjbart 0.2.2
Re-release after dependencies back on CRAN
cjbart 0.2.1
Minor internal changes to keep pace with R development
Minor changes to vignette wording
cjbart 0.2.0
Addresses unbalanced chunk delimiters in package vignette
Adds new functionality for analyzing heterogeneity after IMCE
prediction using random forest variable importance measures
cjbart 0.1.0
First release including all core functionality
Includes wrapper of BART estimation, IMCE prediction, and
generics